Gene-expression profiles in hereditary breast cancer.
By J. Sudbø, A. Reith, O. Lingjaerde. New England Journal of Medicine, 2001
907 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/1d5b3054f267584dc5a730e9e3754b682d7888b8
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Citations in the corpus
- A gene-expression signature as a predictor of survival in breast cancer. (2002, unknown): “7 In addition, microarray analysis has been used to distinguish cancers associated with BRCA1 or BRCA2 mutations 8,9 and to determine estrogen-receptor status 6,9,10 and lymph-node status.”
- BRCA1 and BRCA2: 1994 and beyond (2004, background): “fcgi?db=gene&cmd=Retrieve&dopt=Graphics&list_uids=595">cyclin D1 seems to be a useful marker for BRCA2 -related breast cance”
- BioArray Software Environment (BASE): a platform for comprehensive management and analysis of microarray data (2002, background): “Whereas microarrays have shed light on many biological processes and disease states, for us [7-10] and others, a significant bottle-neck remains the analysis of hybridization data in the context of biomaterial and reporter annotations.”
- Prediction of BRCA1 Status in Patients with Breast Cancer Using Estrogen Receptor and Basal Phenotype (2005, background): “3), and recently, this has been confirmed on expression analysis (9, 13 ).”
- Hallmarks of 'BRCAness' in sporadic cancers (2004, background): “However, gene-expression microarray analysis does indicate the distinct nature of familial- BRCA1 ,familial- BRCA2 and unselected sporadic breast tumour”
- Coexpression analysis of human genes across many microarray data sets. (2004, unknown): “2001) 58 2756 24781 (Unpublished, GSE470) 85 8243 241088 (Hedenfalk et al. 2001) 22 2253 1265 (Unpublished, GSE474) 10 5418 7941 (Hedenfalk et al.”
- The fundamental role of epigenetic events in cancer (2002, background): “Furthermore, microarray studies indicate that the overall gene-expression profiles of sporadic breast cancers with hypermethylated BRCA1 are identical to those of the familial cancers in which BRCA1 is mutated and are distinct from those of other breast-cancer type”
- A Factor Model Approach to Multiple Testing Under Dependence (2009, methodology): “The above factor analysis modeling of the conditional variance is hereafter applied on well-known real microarray data which were primarily analyzed by Hedenfalk et al. (2001) in order to compare expressions of three types of breast cancer tumor tissues: BRCA1, BRCA2, and Sporadic.”
- Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks (2001, methodology): “t(11;22)(q24;q12) in EWS, and the PAX3-FKHR; t(2;13)(q35;q14) in alveolar rhabdomyosarcoma(1) (ARMS).”
- Meta-analysis of microarrays: interstudy validation of gene expression profiles reveals pathway dysregulation in prostate cancer. (2002, methodology): “Ps were assigned to each gene with permutation t tests (4, 12) and, thus, represent the likelihood that expression values of a gene were associated with samples at random.”
- Capturing Heterogeneity in Gene Expression Studies by Surrogate Variable Analysis (2007, methodology): “The second dataset consists of gene expression for 3,226 genes in seven BRCA1 and eight BRCA2 mutation–positive tumor samples [22]; several genes with apparent outliers were removed as described [23] for a total of 3,170 genes.”
- Race, breast cancer subtypes, and survival in the Carolina Breast Cancer Study. (2006, unknown): “Well-/moderately differentiated 174 (35) 18 (18) 10 (30) 106 (42) 34 (44) 6 (19) .”
- Epigenetic gene silencing in cancer: the DNA hypermethylome. (2007, background): “We can examine a number of aspects: (a) whether the reintroduction of the gene in a deficient cancer cell line reduces colony formation, or inhibits xenograft growth in nude mice; (b) whether the hypermethylation of that gene is associated with a particular molecular or clinical phenotype, as is the”
- Estimating the Null and the Proportion of Nonnull Effects in Large-Scale Multiple Comparisons (2006, background): “Among the 496 genes identified as being differentially expressed by the local FDR procedures, 17 of them have been discovered in the study by Hedenfalk et al. (2001).”
- Bayesians, Frequentists, and Scientists (2005, background): “Expression Data for the First of 3,226 Genes, Microarray Study of Breast Cancer (Hedenfalk et al. 2001).”